Festival Speech Synthesis System (1997): Difference between revisions

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== Future research ==
== Future research ==
The Festival Speech Synthesis System is a powerful and versatile open-source text-to-speech (TTS) system. While Festival supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects and creating new voices can be a time-consuming process. [https://www.sciencepubco.com/index.php/ijet/article/view/12933]
In this section, we propose a direction for future research. The festival speech synthesis system is a powerful and versatile open-source text-to-speech (TTS) system. Although this system supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects and creating new voices can be a time-consuming process. [https://www.sciencepubco.com/index.php/ijet/article/view/12933]


Since the 2000s, the development of, [[Advancements in Neural Network-Based TTS (2000s)|Advancements in Neural Network-Based TTS]] has contributed greatly to reducing the time it takes to synthesize speech, increasing accuracy, and effective speech collection.
Since the 2000s, the development of, [[Advancements in Neural Network-Based TTS (2000s)|Advancements in Neural Network-Based TTS]] has contributed greatly to reducing the time it takes to synthesize speech, increasing accuracy, and effective speech collection. (one or two sentence will be added here)


Since the 2010s then, the market has become more active with the development of [[Commerical TTS - Google, Amazon and Apple (2010s)|commercial TTS-speech synthesis services]] such as Google, Amazon, and Apple. Speech synthesis services, led by large companies, have contributed to effectively collecting minority-oriented speech for specific languages and dialects and shortening the time it takes to generate new speech after the festival speech synthesis system.     
Since the 2010s then, the market has become more active with the development of [[Commerical TTS - Google, Amazon and Apple (2010s)|commercial TTS-speech synthesis services]] such as Google, Amazon, and Apple. Speech synthesis services, led by large companies, have contributed to effectively collecting minority-oriented speech for specific languages and dialects and shortening the time it takes to generate new speech after the festival speech synthesis system.     

Revision as of 13:40, 11 October 2023

Introduction

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum porta.

Historical Context

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum port.

Key Innovations

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum port

Impact

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean odio turpis, sodales a urna a, rutrum elementum libero. Phasellus pellentesque dapibus odio quis sodales. Duis a dignissim odio. Maecenas lobortis sapien purus, eu laoreet magna varius et. Vestibulum euismod pharetra lorem, id dignissim lorem porta ac. Proin euismod vehicula eleifend. Nunc hendrerit efficitur dolor vitae sodales. Fusce sit amet quam laoreet, aliquet diam at, sollicitudin turpis. Vestibulum eget posuere nibh, sit amet sodales purus. Curabitur vel vulputate eros. Vivamus pellentesque libero non magna iaculis tempor. Aenean sodales velit ut nulla aliquam, ut varius orci blandit. Aliquam semper neque ac rutrum port

Future research

In this section, we propose a direction for future research. The festival speech synthesis system is a powerful and versatile open-source text-to-speech (TTS) system. Although this system supports multiple languages, there may be a limited selection of pre-built voices available for certain languages and dialects and creating new voices can be a time-consuming process. [1]

Since the 2000s, the development of, Advancements in Neural Network-Based TTS has contributed greatly to reducing the time it takes to synthesize speech, increasing accuracy, and effective speech collection. (one or two sentence will be added here)

Since the 2010s then, the market has become more active with the development of commercial TTS-speech synthesis services such as Google, Amazon, and Apple. Speech synthesis services, led by large companies, have contributed to effectively collecting minority-oriented speech for specific languages and dialects and shortening the time it takes to generate new speech after the festival speech synthesis system.

In summary, the festival speech synthesis system in the context of voice synthesis technology is underscored by collecting large data set in specific words.

LLM Reviews

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Team Members

Introduction - Page

Historical context - Jingxuan

Impact - Weihao

Innovation - Ting

Future research - Soogyeong

LLM reviews- together

References